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Author: Yuan-Hung Ma
Publisher:
ISBN:
Category :
Languages : en
Pages : 270
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Book Description
Author: Yuan-Hung Ma
Publisher:
ISBN:
Category :
Languages : en
Pages : 270
Get Book Here
Book Description
Author: O. Maimon
Publisher: Springer Science & Business Media
ISBN: 1475728344
Category : Technology & Engineering
Languages : en
Pages : 354
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Book Description
This book presents a unified optimal control approach to a large class of problems arising in the field of production planning and scheduling. It introduces a leading optimal flow control paradigm which results in efficient solutions for planning and scheduling problems. This book also introduces the reader to analytical and numerical methods of the maximum principle, used here as a mathematical instrument in modeling and solving production planning and scheduling problems. The book examines control of production flows rather than sequencing of distinct jobs. Methodologically, this paradigm allows us to progress from initial assumptions about a manufacturing environment, through mathematical models and construction of numerical methods, up to practical applications which prove the relevance of the theory developed here to the real world. Given a manufacturing system, the goal is to control the production, subject to given constraints, in such a way that the demands are tracked as closely as possible. The book considers a wide variety of problems encountered in actual production planning and scheduling. Among the problems are production flow sequencing and timing, capacity expansion and deterioration, subcontracting and overtime. The last chapter is entirely devoted to applications of the theory to scheduling production flows in real-life manufacturing systems. The enclosed disk provides software implementations of the developed methods with easy, convenient user interface. We aimed this book at a student audience - final year undergraduates as weIl as master and Ph. D.
Author: George Yin
Publisher: Springer
ISBN: 9783662170243
Category : Technology & Engineering
Languages : en
Pages : 225
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Book Description
In a competitive world, research in manufacturing systems plays an important role in creating, updating and improving the technologies and management practices of the economy. This volume presents some of the most recent results in stochastic manufacturing systems. Experts from the fields of applied mathematics, engineering and management sciences review and substantially update the recent advances in the control and optimization of manufacturing systems. Recent Advances in Control and Optimization of Manufacturing Systems consists of eight chapters divided into three parts which focus on Optimal Production Planning, Scheduling and Improvability and Approximate Optimality and Robustness. This book is intended for researchers and practitioners in the fields of systems theory, control and optimization, and operation management as well as in applied probability and stochastic processes.
Author: George Yin
Publisher: Springer
ISBN:
Category : Business & Economics
Languages : en
Pages : 248
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Book Description
Content Description #Includes index.
Author: O. Maimon
Publisher: Springer
ISBN: 9781475728354
Category : Technology & Engineering
Languages : en
Pages : 348
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Book Description
This book presents a unified optimal control approach to a large class of problems arising in the field of production planning and scheduling. It introduces a leading optimal flow control paradigm which results in efficient solutions for planning and scheduling problems. This book also introduces the reader to analytical and numerical methods of the maximum principle, used here as a mathematical instrument in modeling and solving production planning and scheduling problems. The book examines control of production flows rather than sequencing of distinct jobs. Methodologically, this paradigm allows us to progress from initial assumptions about a manufacturing environment, through mathematical models and construction of numerical methods, up to practical applications which prove the relevance of the theory developed here to the real world. Given a manufacturing system, the goal is to control the production, subject to given constraints, in such a way that the demands are tracked as closely as possible. The book considers a wide variety of problems encountered in actual production planning and scheduling. Among the problems are production flow sequencing and timing, capacity expansion and deterioration, subcontracting and overtime. The last chapter is entirely devoted to applications of the theory to scheduling production flows in real-life manufacturing systems. The enclosed disk provides software implementations of the developed methods with easy, convenient user interface. We aimed this book at a student audience - final year undergraduates as weIl as master and Ph. D.
Author: D. Subbaram Naidu
Publisher: CRC Press
ISBN: 1351830317
Category : Technology & Engineering
Languages : en
Pages : 236
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Book Description
The theory of optimal control systems has grown and flourished since the 1960's. Many texts, written on varying levels of sophistication, have been published on the subject. Yet even those purportedly designed for beginners in the field are often riddled with complex theorems, and many treatments fail to include topics that are essential to a thorough grounding in the various aspects of and approaches to optimal control. Optimal Control Systems provides a comprehensive but accessible treatment of the subject with just the right degree of mathematical rigor to be complete but practical. It provides a solid bridge between "traditional" optimization using the calculus of variations and what is called "modern" optimal control. It also treats both continuous-time and discrete-time optimal control systems, giving students a firm grasp on both methods. Among this book's most outstanding features is a summary table that accompanies each topic or problem and includes a statement of the problem with a step-by-step solution. Students will also gain valuable experience in using industry-standard MATLAB and SIMULINK software, including the Control System and Symbolic Math Toolboxes. Diverse applications across fields from power engineering to medicine make a foundation in optimal control systems an essential part of an engineer's background. This clear, streamlined presentation is ideal for a graduate level course on control systems and as a quick reference for working engineers.
Author: E. O'shima
Publisher: Elsevier
ISBN: 1483298329
Category : Business & Economics
Languages : en
Pages : 261
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Book Description
The papers within this volume reflect the multidisciplinary approach taken by the workshop to the development and improvement of existing production control theories and practices as applied to the process industry. Subjects covered include production planning, quality control and assurance, operational control and maintenance strategy. The development of this area is seen by those at the workshop as only being achieved by various groups working together rather than in isolation, so that the overall aim of production control is not lost in too much detail. This volume will provide the reader with essential information on new initiatives in the process industry with regard to production control.
Author: Suresh P. Sethi
Publisher: Springer Nature
ISBN: 3030917452
Category : Business & Economics
Languages : en
Pages : 520
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Book Description
This new 4th edition offers an introduction to optimal control theory and its diverse applications in management science and economics. It introduces students to the concept of the maximum principle in continuous (as well as discrete) time by combining dynamic programming and Kuhn-Tucker theory. While some mathematical background is needed, the emphasis of the book is not on mathematical rigor, but on modeling realistic situations encountered in business and economics. It applies optimal control theory to the functional areas of management including finance, production and marketing, as well as the economics of growth and of natural resources. In addition, it features material on stochastic Nash and Stackelberg differential games and an adverse selection model in the principal-agent framework. Exercises are included in each chapter, while the answers to selected exercises help deepen readers’ understanding of the material covered. Also included are appendices of supplementary material on the solution of differential equations, the calculus of variations and its ties to the maximum principle, and special topics including the Kalman filter, certainty equivalence, singular control, a global saddle point theorem, Sethi-Skiba points, and distributed parameter systems. Optimal control methods are used to determine optimal ways to control a dynamic system. The theoretical work in this field serves as the foundation for the book, in which the author applies it to business management problems developed from his own research and classroom instruction. The new edition has been refined and updated, making it a valuable resource for graduate courses on applied optimal control theory, but also for financial and industrial engineers, economists, and operational researchers interested in applying dynamic optimization in their fields.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
(Uncorrected OCR) Summary The production control of manufacturing systems is at the heart of the whole manufacturing process, and such control involves a series of real-time scheduling decisions regarding different discrete production operations. Thus, improving the effectiveness of production-control systems is of vital importance. The use of stochastic control theory to find the optimal or near-optimal solutions of production-control problems is greatly facilitated by using continuous-flow models to approximate the discrete flows in manufacturing systems. However, past research showed that such problems are very difficult to solve either analytically or numerically by such means. In order to simplify the problems, some restrictive assumptions (such as long-run constant demands and exponentially distributed machine failures) were made in this previous theoretical work, but even so analytical solutions were obtained only for simple systems containing single machines producing single product-types. Evolutionary algorithms are used in this thesis to develop practical solutions for these analytically intractable production-control problems in two different ways, namely, crisp-logic control and fuzzy-logic control. In the case of crisp-logic control, an evolutionary stochastic optimisation procedure is developed to estimate the optimal short-run inventory levels for finished-products and work-in-progress buffers (i.e., hedging points) for manufacturing systems with constant demands under closed-loop control. This methodology is illustrated by examples of manufacturing systems with different configurations (single machines, multiple machines, single product-types, and multiple product-types), and the results are validated by comparing them to the theoretically optimal i results (where such results are available). The evolutionarily optimised short-run inventory levels are also used to construct gain-scheduled adaptive controllers, and it is shown that such controllers ca.
Author: Adeniyi Samson Onanaye
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659458644
Category :
Languages : en
Pages : 132
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Book Description
This book is a work for a PhD Mathematics, from Mathematics Department, Modibbo Adama University of Technology, Yola, Nigeria. It deals with the optimal control of a one-machine multiple-product manufacturing system with setup changes, operating in a continuous time dynamic environment. The system is deterministic. When production is switched from one product to the other, a known constant setup time and a setup cost are incurred. Each product has specified constant processing time and constant demand rate, as well as an infinite supply of raw material. The problem was formulated as a feedback control problem. The optimal solution provides the optimal production rate and setup switching epochs as a function of the state of the system (backlog and inventory levels). For the steady state, the optimal cyclic schedule was determined. To solve the transient case, the system's state space was partitioned into [n(n-1)/2], where n is the number of products, mutually exclusive regions such that with each region, the optimal control policy was determined analytically. From the result of analysis, a number of useful recommendations were made. The book is relevant in manufacturing Industries
